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Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks

Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks

30 July 2024
Yunfeng Diao
Na Zhai
Changtao Miao
Xun Yang
Meng Wang
Xun Yang
Meng Wang
    AAML
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Papers citing "Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks"

4 / 4 papers shown
Title
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image
  Detectors
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
You-Ming Chang
Chen Yeh
Wei-Chen Chiu
Ning Yu
VPVLM
VLM
61
21
0
26 Oct 2023
Exploring Adversarial Fake Images on Face Manifold
Exploring Adversarial Fake Images on Face Manifold
Dongze Li
Wei Wang
Hongxing Fan
Jing Dong
AAML
30
35
0
09 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
247
5,813
0
08 Jul 2016
1